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Titlebook: Handbuch Vakuumtechnik; Karl Jousten Book 2018Latest edition Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2018 Absorpt

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Karl Jousten,Felix Sharipovaffect the aggregate health (average longevity of agents) and wealth (GDP) of two artificial societies: A primitive society with no division of labor, and a monetized society with division of labor for three different tasks. The results show that agents who feel shame are successful in colonizing vi
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Karl Joustenil, in October 2008. The 27 revised full papers presented together with 3 invited lectures and 3 tutorials were carefully reviewed and selected from 142 submissions. The papers are organized in topical sections on computer vision and pattern recognition, distributed AI: autonomous agents, multi-agen
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Karl Jousten,Alfons Jünemann,Boris Kosseka learning methodology that proposes the use of an iterative, error-based approach to improve classification performance. We analyze how the incorporation of syntactic constituent information to the learning and post-processing steps produces a performance improvement of almost twelve points in term
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Karl Jousten,Uwe Friedrichsen,Erik Lippeltide which words are complex and need to be replaced. Though this is a very subjective task, and not trivial at all, there is agreement among linguists of what makes a word more difficult to read and understand. Cues like the length of the word or its frequency in the language are accepted as informa
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Karl Jousten,Uwe Friedrichsenrelations between entities in the text. This work proposes a new process for the extraction of any relation descriptors between Named Entities (NEs) in the Organization domain, for the Portuguese language, using the Conditional Random Fields (CRF) model. For example, from the following sentence frag
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Karl Jousten,Klaus Galdaat can interpret learner state within the context of a dynamic learning environment is costly and often tied to the specific requirements of the learning environment. We overview a new approach for monitoring and assessing system context and learner state that is not specific to a particular domain.
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